Metadata-Version: 2.1
Name: pycgsp
Version: 1.0.1
Summary: Graph signal processing extensions for Pycsou.
Home-page: https://github.com/matthieumeo/pycsou-gsp
Author: Matthieu SIMEONI
Author-email: matthieu.simeoni@gmail.com
License: MIT
Download-URL: https://github.com/matthieumeo/pycsou-gsp
Description: .. image:: https://matthieumeo.github.io/pycsou/html/_images/pycsou.png
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          :target: https://github.com/matthieumeo/pycsou-gsp
        
        .. image:: https://zenodo.org/badge/277582581.svg
           :target: https://zenodo.org/badge/latestdoi/277582581
        
        
        *Pycsou-gsp* is the graph signal processing extension of the Python 3 package `Pycsou <https://github.com/matthieumeo/pycsou>`_ for solving linear inverse problems. The extension offers implementations of graph *convolution* and *differential* operators, compatible with Pycsou's interface for linear operators. Such tools can be useful when solving linear inverse problems involving signals defined on non Euclidean discrete manifolds.
        
        Graphs in *Pycsou-gsp* are instances from the class ``pygsp.graphs.Graph`` from the `pygsp <https://github.com/epfl-lts2/pygsp>`_ library for graph signal processing with Python. 
        
        Content
        -------
        
        The package is organised as follows:
        
        1. The subpackage ``pycsou_gsp.linop`` implements the following common graph linear operators:
          
           * Graph convolution operators: ``GraphConvolution``
           * Graph differential operators: ``GraphLaplacian``, ``GraphGradient``, ``GeneralisedGraphLaplacian``.
        
        2. The subpackage ``pycsou_gsp.tesselation`` provides routines for generating graphs from discrete tessellations of continuous manifolds such as the sphere. 
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/x-rst; charset=UTF-8
